diff --git a/library/sdxl_original_unet.py b/library/sdxl_original_unet.py
index 8ba1c988..6ea4bc33 100644
--- a/library/sdxl_original_unet.py
+++ b/library/sdxl_original_unet.py
@@ -734,24 +734,6 @@ class Transformer2DModel(nn.Module):
 
         return output
 
-    def forward_xxx(self, hidden_states, encoder_hidden_states=None, timestep=None):
-        if self.training and self.gradient_checkpointing:
-            # print("Transformer2DModel: Using gradient checkpointing")
-
-            def create_custom_forward(func):
-                def custom_forward(*inputs):
-                    return func(*inputs)
-
-                return custom_forward
-
-            output = torch.utils.checkpoint.checkpoint(
-                create_custom_forward(self.forward_body), hidden_states, encoder_hidden_states, timestep
-            )
-        else:
-            output = self.forward_body(hidden_states, encoder_hidden_states, timestep)
-
-        return output
-
 
 class Upsample2D(nn.Module):
     def __init__(self, channels, out_channels):